初始化项目，由ModelHub XC社区提供模型
Model: ponoma16/CodeKobzar13B Source: Original Platform
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README.md
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README.md
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---
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datasets:
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- osyvokon/zno
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- byebyebye/ukr-wiki-qa-v1
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- byebyebye/ukr-wiki-qa-v2
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language:
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- uk
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---
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## Introduction
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CodeKobzar13B is a generative model that was trained on Ukrainian Wikipedia data and Ukrainian language rules. It has knowledge of Ukrainian history, language, literature and culture.
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## Model Information
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This model is based on [vicuna-13b-v1.5](https://huggingface.co/lmsys/vicuna-13b-v1.5).
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## Model Usage
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Use the following prompt template: <br>
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USER: {input} ASSISTANT:
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We recommend using next configurations:
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<b>Temperature:</b> 0.8 <br>
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<b>Top-p:</b> 0.95
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### Inference
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model_path="ponoma16/CodeKobzar13B"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_load_path,
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low_cpu_mem_usage=True,
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torch_dtype=torch.float16,
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load_in_8bit=True,
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device_map='auto',
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)
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model.eval()
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prompt = "Яке місто в Україні називають найромантичнішим?"
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PROMPT_TEMPLATE = """USER: {prompt} ASSISTANT: """
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input_ids = tokenizer(
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prompt,
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return_tensors="pt",
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truncation=True,
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).input_ids.cuda()
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outputs = model.generate(
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input_ids=input_ids,
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do_sample=True,
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top_p=0.95,
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max_new_tokens=150,
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temperature=0.5,
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)
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prediction = tokenizer.batch_decode(outputs.cpu().numpy(), skip_special_tokens=True)[0]
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print(prediction)
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```
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## Contact
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If you have any inquiries, please feel free to raise an issue or reach out to us via email at: mariiaponomarenko10@gmail.com, benjamin.ye@me.com.
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We're here to assist you!"
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config.json
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{
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"_name_or_path": "ponoma16/kodkobzar13B_x2_lit_history_lang-merged",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_length": 4096,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.31.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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||||
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||||
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|
||||
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|
||||
}
|
||||
}
|
||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"pad_token": "</s>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
40
tokenizer_config.json
Normal file
40
tokenizer_config.json
Normal file
@@ -0,0 +1,40 @@
|
||||
{
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
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|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": false,
|
||||
"model_max_length": 4096,
|
||||
"pad_token": "</s>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user